Saved in:
| Main Authors: | Long, Bo, Agarwal, Deepak, Markovic-Voronov, Jelena, Wang, Yi, Li, Liuqing |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.18832 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sampling for Quality: Training-Free Reward-Guided LLM Decoding via Sequential Monte Carlo
by: Markovic-Voronov, Jelena, et al.
Published: (2026)
by: Markovic-Voronov, Jelena, et al.
Published: (2026)
Robust Batch-Level Query Routing for Large Language Models under Cost and Capacity Constraints
by: Markovic-Voronov, Jelena, et al.
Published: (2026)
by: Markovic-Voronov, Jelena, et al.
Published: (2026)
KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy
by: Xu, Qianxiong, et al.
Published: (2023)
by: Xu, Qianxiong, et al.
Published: (2023)
Kalman Bayesian Transformer
by: Jing, Haoming, et al.
Published: (2025)
by: Jing, Haoming, et al.
Published: (2025)
Bayesian Natural Gradient Fine-Tuning of CLIP Models via Kalman Filtering
by: Abdi, Hossein, et al.
Published: (2025)
by: Abdi, Hossein, et al.
Published: (2025)
The Kalman Evolve: Closing the Gap in Kalman Filtering via Interpretable Algorithm Discovery
by: Saketos, Vasileios, et al.
Published: (2026)
by: Saketos, Vasileios, et al.
Published: (2026)
Kalman Filter for Online Classification of Non-Stationary Data
by: Titsias, Michalis K., et al.
Published: (2023)
by: Titsias, Michalis K., et al.
Published: (2023)
Computation-Aware Kalman Filtering with Model Selection for Neural Dynamics
by: Huml, JR, et al.
Published: (2026)
by: Huml, JR, et al.
Published: (2026)
K-Score: Kalman Filter as a Principled Alternative to Reward Normalization in Reinforcement Learning
by: Xia, Zixuan, et al.
Published: (2026)
by: Xia, Zixuan, et al.
Published: (2026)
STA-GANN: A Valid and Generalizable Spatio-Temporal Kriging Approach
by: Li, Yujie, et al.
Published: (2025)
by: Li, Yujie, et al.
Published: (2025)
Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning
by: Li, Zhishuai, et al.
Published: (2024)
by: Li, Zhishuai, et al.
Published: (2024)
iPINNER: An Iterative Physics-Informed Neural Network with Ensemble Kalman Filter
by: Lu, Binghang, et al.
Published: (2025)
by: Lu, Binghang, et al.
Published: (2025)
DeepFilter: A Transformer-style Framework for Accurate and Efficient Process Monitoring
by: Wang, Hao, et al.
Published: (2025)
by: Wang, Hao, et al.
Published: (2025)
High-Precision Geosteering via Reinforcement Learning and Particle Filters
by: Muhammad, Ressi Bonti, et al.
Published: (2024)
by: Muhammad, Ressi Bonti, et al.
Published: (2024)
Improving SMOTE via Fusing Conditional VAE for Data-adaptive Noise Filtering
by: Hong, Sungchul, et al.
Published: (2024)
by: Hong, Sungchul, et al.
Published: (2024)
Attention-Based Neural-Augmented Kalman Filter for Legged Robot State Estimation
by: Lee, Seokju, et al.
Published: (2026)
by: Lee, Seokju, et al.
Published: (2026)
Physics-Guided Inductive Spatiotemporal Kriging for PM2.5 with Satellite Gradient Constraints
by: Wang, Shuo, et al.
Published: (2025)
by: Wang, Shuo, et al.
Published: (2025)
Physics-Guided Transformer (PGT): Physics-Aware Attention Mechanism for PINNs
by: Zeraatkar, Ehsan, et al.
Published: (2026)
by: Zeraatkar, Ehsan, et al.
Published: (2026)
Adversarial Training for Process Reward Models
by: Juneja, Gurusha, et al.
Published: (2025)
by: Juneja, Gurusha, et al.
Published: (2025)
LatentTrack: Sequential Weight Generation via Latent Filtering
by: Haq, Omer
Published: (2026)
by: Haq, Omer
Published: (2026)
Convolutional Transformer Neural Collaborative Filtering
by: Li, Pang, et al.
Published: (2024)
by: Li, Pang, et al.
Published: (2024)
SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness
by: Kodge, Sangamesh, et al.
Published: (2024)
by: Kodge, Sangamesh, et al.
Published: (2024)
NoiseFormer -- Noise Diffused Symmetric Attention Transformer
by: Kumar, Phani, et al.
Published: (2026)
by: Kumar, Phani, et al.
Published: (2026)
Provable Length Generalization in Sequence Prediction via Spectral Filtering
by: Marsden, Annie, et al.
Published: (2024)
by: Marsden, Annie, et al.
Published: (2024)
Noise Stability of Transformer Models
by: Haris, Themistoklis, et al.
Published: (2026)
by: Haris, Themistoklis, et al.
Published: (2026)
Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation
by: Racioppo, Peter
Published: (2025)
by: Racioppo, Peter
Published: (2025)
Revealing Modular Gradient Noise Imbalance in LLMs: Calibrating Adam via Signal-to-Noise Ratio
by: Wen, Ziqing, et al.
Published: (2026)
by: Wen, Ziqing, et al.
Published: (2026)
The Bayesian Geometry of Transformer Attention
by: Agarwal, Naman, et al.
Published: (2025)
by: Agarwal, Naman, et al.
Published: (2025)
From Noise to Precision: A Diffusion-Driven Approach to Zero-Inflated Precipitation Prediction
by: Gao, Wentao, et al.
Published: (2025)
by: Gao, Wentao, et al.
Published: (2025)
PAX-TS: Model-agnostic multi-granular explanations for time series forecasting via localized perturbations
by: Kreuzer, Tim, et al.
Published: (2025)
by: Kreuzer, Tim, et al.
Published: (2025)
Spectral Transformer Neural Processes
by: Chen, Xianhe, et al.
Published: (2026)
by: Chen, Xianhe, et al.
Published: (2026)
STaMP: Sequence Transformation and Mixed Precision for Low-Precision Activation Quantization
by: Federici, Marco, et al.
Published: (2025)
by: Federici, Marco, et al.
Published: (2025)
Graph Signal Processing Meets Mamba2: Adaptive Filter Bank via Delta Modulation
by: Shin, Yehjin, et al.
Published: (2026)
by: Shin, Yehjin, et al.
Published: (2026)
ASTRA: Communication-Efficient Acceleration for Multi-Device Transformer Inference
by: Liu, Xiao, et al.
Published: (2025)
by: Liu, Xiao, et al.
Published: (2025)
Q-Net: Queue Length Estimation via Kalman-based Neural Networks
by: Gao, Ting, et al.
Published: (2025)
by: Gao, Ting, et al.
Published: (2025)
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance
by: Yuan, Bo, et al.
Published: (2025)
by: Yuan, Bo, et al.
Published: (2025)
PMET: Precise Model Editing in a Transformer
by: Li, Xiaopeng, et al.
Published: (2023)
by: Li, Xiaopeng, et al.
Published: (2023)
From Noise to Narrative: Tracing the Origins of Hallucinations in Transformers
by: Suresh, Praneet, et al.
Published: (2025)
by: Suresh, Praneet, et al.
Published: (2025)
Robust Deep Hawkes Process under Label Noise of Both Event and Occurrence
by: Tan, Xiaoyu, et al.
Published: (2024)
by: Tan, Xiaoyu, et al.
Published: (2024)
Identifying Multi-modal Knowledge Neurons in Pretrained Transformers via Two-stage Filtering
by: Sato, Yugen, et al.
Published: (2025)
by: Sato, Yugen, et al.
Published: (2025)
Similar Items
-
Sampling for Quality: Training-Free Reward-Guided LLM Decoding via Sequential Monte Carlo
by: Markovic-Voronov, Jelena, et al.
Published: (2026) -
Robust Batch-Level Query Routing for Large Language Models under Cost and Capacity Constraints
by: Markovic-Voronov, Jelena, et al.
Published: (2026) -
KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy
by: Xu, Qianxiong, et al.
Published: (2023) -
Kalman Bayesian Transformer
by: Jing, Haoming, et al.
Published: (2025) -
Bayesian Natural Gradient Fine-Tuning of CLIP Models via Kalman Filtering
by: Abdi, Hossein, et al.
Published: (2025)